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authorRémi Flamary <remi.flamary@gmail.com>2016-11-04 11:20:39 +0100
committerRémi Flamary <remi.flamary@gmail.com>2016-11-04 11:20:39 +0100
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POT: Python Optimal Transport
=============================
-
-This open source Python library provide several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning.
-
-It provides the following solvers:
-
-* OT solver for the linear program/ Earth Movers Distance [1].
-* Entropic regularization OT solver with Sinkhorn Knopp Algorithm [2].
-* Bregman projections for Wasserstein barycenter [3] and unmixing [4].
-* Optimal transport for domain adaptation with group lasso regularization [5]
-* Conditional gradient [6] and Generalized conditional gradient for regularized OT [7].
-
-Some demonstrations (both in Python and Jupyter Notebook format) are available in the examples folder.
-
-
Contents
--------
@@ -30,23 +16,8 @@ Contents
all
examples
-
-References
-----------
-
-[1] Bonneel, N., Van De Panne, M., Paris, S., & Heidrich, W. (2011, December). Displacement interpolation using Lagrangian mass transport. In ACM Transactions on Graphics (TOG) (Vol. 30, No. 6, p. 158). ACM.
-
-[2] Cuturi, M. (2013). Sinkhorn distances: Lightspeed computation of optimal transport. In Advances in Neural Information Processing Systems (pp. 2292-2300).
-
-[3] Benamou, J. D., Carlier, G., Cuturi, M., Nenna, L., & Peyré, G. (2015). Iterative Bregman projections for regularized transportation problems. SIAM Journal on Scientific Computing, 37(2), A1111-A1138.
-
-[4] S. Nakhostin, N. Courty, R. Flamary, D. Tuia, T. Corpetti, Supervised planetary unmixing with optimal transport, Whorkshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), 2016.
-
-[5] N. Courty; R. Flamary; D. Tuia; A. Rakotomamonjy, "Optimal Transport for Domain Adaptation," in IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.PP, no.99, pp.1-1
-
-[6] Ferradans, S., Papadakis, N., Peyré, G., & Aujol, J. F. (2014). Regularized discrete optimal transport. SIAM Journal on Imaging Sciences, 7(3), 1853-1882.
-
-[7] Rakotomamonjy, A., Flamary, R., & Courty, N. (2015). Generalized conditional gradient: analysis of convergence and applications. arXiv preprint arXiv:1510.06567.
+.. include:: ../readme.rst
+ :start-line: 5
Indices and tables